Household surveys suffer from persistent and growing underreporting. We propose a novel procedure to adjust reported survey incomes for underreporting by estimating a model of misreporting whose main ...
Abstract: Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed ...
The loss of the central role of people in today’s complex global systems is the greatest danger of all. In Kenya and Amdo ...
The latest Social Survey from Israel’s Central Bureau of Statistics presents a reality that can no longer be ignored: a ...
Abstract: We propose a Multi-graph Attention spatial-temporal graph convolutional network (MGA-STGCN) for AHP risk forecasting. To describe the temporal and spatial features of the area, we use ...
One in five households earning $91,000 or more experienced food insecurity in the past 12 months, a report has found ...
The World Inequality Report for 2026 shows that the top 10% of the global population’s income-earners earn more than the remaining 90%, while the poorest half of the global population captures less th ...
On the global stage, the top 0.001% own three times more than the poorest half of humanity combined, said the 2026 World ...
This culture of hope and participation and ambition is what truly terrifies the political establishment. Not our polling ...
Data from World Inequality Report also showed top 10% of income-earners earn more than the other 90% ...
QVGE is a multiplatform graph editor written in C++/Qt. Its main goal is to make possible visually edit two-dimensional graphs in a simple and intuitive way. Please note that QVGE is not a replacement ...
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